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<div class="textblock"><code>#include &quot;<a class="el" href="_i_n_e_kernel_8h_source.xhtml">arm_compute/core/NEON/INEKernel.h</a>&quot;</code><br/>
<code>#include &quot;<a class="el" href="_i_n_e_simple_kernel_8h_source.xhtml">arm_compute/core/NEON/INESimpleKernel.h</a>&quot;</code><br/>
<code>#include &lt;array&gt;</code><br/>
<code>#include &lt;cstdint&gt;</code><br/>
<code>#include &lt;vector&gt;</code><br/>
</div>
<p><a href="_n_e_convolution_kernel_8h_source.xhtml">Go to the source code of this file.</a></p>
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Data Structures</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_kernel.xhtml">NEConvolutionKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel to run an arbitrary size convolution on a tensor.  <a href="classarm__compute_1_1_n_e_convolution_kernel.xhtml#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml">NESeparableConvolutionHorKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the Horizontal pass of a Separable Convolution.  <a href="classarm__compute_1_1_n_e_separable_convolution_hor_kernel.xhtml#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml">NESeparableConvolutionVertKernel&lt; matrix_size &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the Vertical pass of a Separable Convolution.  <a href="classarm__compute_1_1_n_e_separable_convolution_vert_kernel.xhtml#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class. ">Kernel</a> for the running convolution on a rectangle matrix.  <a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#details">More...</a><br/></td></tr>
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Typedefs</h2></td></tr>
<tr class="memitem:acf81639b3d33b5da654ef088e4d10520"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#acf81639b3d33b5da654ef088e4d10520">NEConvolution3x3Kernel</a> = NEConvolutionKernel&lt; 3 &gt;</td></tr>
<tr class="memdesc:acf81639b3d33b5da654ef088e4d10520"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 3x3 convolution to a tensor.  <a href="#acf81639b3d33b5da654ef088e4d10520">More...</a><br/></td></tr>
<tr class="separator:acf81639b3d33b5da654ef088e4d10520"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a21898b2d2e31ab9af8933c66ff82c8c6"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a21898b2d2e31ab9af8933c66ff82c8c6">NEConvolution5x5Kernel</a> = NEConvolutionKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:a21898b2d2e31ab9af8933c66ff82c8c6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 5x5 convolution to a tensor.  <a href="#a21898b2d2e31ab9af8933c66ff82c8c6">More...</a><br/></td></tr>
<tr class="separator:a21898b2d2e31ab9af8933c66ff82c8c6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae46cbbe03d31c6c8e7eba7b58999842d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ae46cbbe03d31c6c8e7eba7b58999842d">NEConvolution7x7Kernel</a> = NEConvolutionKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:ae46cbbe03d31c6c8e7eba7b58999842d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 7x7 convolution to a tensor.  <a href="#ae46cbbe03d31c6c8e7eba7b58999842d">More...</a><br/></td></tr>
<tr class="separator:ae46cbbe03d31c6c8e7eba7b58999842d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1025306f820a9e76df7e5891caacff7b"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a1025306f820a9e76df7e5891caacff7b">NEConvolution9x9Kernel</a> = NEConvolutionKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a1025306f820a9e76df7e5891caacff7b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 9x9 convolution to a tensor.  <a href="#a1025306f820a9e76df7e5891caacff7b">More...</a><br/></td></tr>
<tr class="separator:a1025306f820a9e76df7e5891caacff7b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac78a7593874c21cff86478c1ba6df27b"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ac78a7593874c21cff86478c1ba6df27b">NESeparableConvolution5x5HorKernel</a> = NESeparableConvolutionHorKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:ac78a7593874c21cff86478c1ba6df27b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 5x1 horizontal convolution to a tensor.  <a href="#ac78a7593874c21cff86478c1ba6df27b">More...</a><br/></td></tr>
<tr class="separator:ac78a7593874c21cff86478c1ba6df27b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aca4adbcd292c26b0e392c59875c1e926"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#aca4adbcd292c26b0e392c59875c1e926">NESeparableConvolution7x7HorKernel</a> = NESeparableConvolutionHorKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:aca4adbcd292c26b0e392c59875c1e926"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 7x1 horizontal convolution to a tensor.  <a href="#aca4adbcd292c26b0e392c59875c1e926">More...</a><br/></td></tr>
<tr class="separator:aca4adbcd292c26b0e392c59875c1e926"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4ba5f6b7cd6b70b75e42149f3bc08f38"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a4ba5f6b7cd6b70b75e42149f3bc08f38">NESeparableConvolution9x9HorKernel</a> = NESeparableConvolutionHorKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a4ba5f6b7cd6b70b75e42149f3bc08f38"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 9x1 horizontal convolution to a tensor.  <a href="#a4ba5f6b7cd6b70b75e42149f3bc08f38">More...</a><br/></td></tr>
<tr class="separator:a4ba5f6b7cd6b70b75e42149f3bc08f38"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae4152320657df499674ed64b16c28a7b"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#ae4152320657df499674ed64b16c28a7b">NESeparableConvolution5x5VertKernel</a> = NESeparableConvolutionVertKernel&lt; 5 &gt;</td></tr>
<tr class="memdesc:ae4152320657df499674ed64b16c28a7b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 1x5 vertical convolution to a tensor.  <a href="#ae4152320657df499674ed64b16c28a7b">More...</a><br/></td></tr>
<tr class="separator:ae4152320657df499674ed64b16c28a7b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0f952bd0821b506e18514a3f4dbc6c39"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a0f952bd0821b506e18514a3f4dbc6c39">NESeparableConvolution7x7VertKernel</a> = NESeparableConvolutionVertKernel&lt; 7 &gt;</td></tr>
<tr class="memdesc:a0f952bd0821b506e18514a3f4dbc6c39"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 1x7 vertical convolution to a tensor.  <a href="#a0f952bd0821b506e18514a3f4dbc6c39">More...</a><br/></td></tr>
<tr class="separator:a0f952bd0821b506e18514a3f4dbc6c39"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6310d21f215fface41df4cde725a62b9"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml#a6310d21f215fface41df4cde725a62b9">NESeparableConvolution9x9VertKernel</a> = NESeparableConvolutionVertKernel&lt; 9 &gt;</td></tr>
<tr class="memdesc:a6310d21f215fface41df4cde725a62b9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Interface for the kernel which applied a 1x9 vertical convolution to a tensor.  <a href="#a6310d21f215fface41df4cde725a62b9">More...</a><br/></td></tr>
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